Comparison

Google BigQuery vs Trino

On the evidence we track, Trino leads this comparison with a composite score of 52/100. Scores are only directly comparable because these tools share a category; the full breakdown and every source is below.

Machine formatsJSONMarkdownGraphQLor send Accept: application/json
Google BigQuery46
Trino52
Score
Vioscale score
Google BigQuery46 / 100low · 49%
Trino52 / 100medium · 54%
Pricing
Free tier
Google BigQuery
Trino
Model
Google BigQueryfreemium
Price level
Google BigQuerylow
Trinofree
Transparent
Google BigQuery
Trino
Integrations
Count
Google BigQuery4
Trino18
Reliability
Status page
Google BigQuery
Trino
Adoption
Dependent repos
Google BigQuery
Trino468
Github stars
Google BigQuery
Trino13,183
Activity
Commits last 30d
Google BigQuery
Trino100
Release
Cadence days
Google BigQuery
Trino45
History
Google BigQuery
Trino7 items
License
Spdx
Google BigQuery
Language
Primary
Google BigQuery
TrinoJava
Market
Availability

Capabilities

Feature-by-feature on the axes that matter for data warehouse software. “-” means undocumented, not absent.

Deployment
Deployment
Google BigQueryManaged cloud
TrinoSelf-hosted
Architecture
Architecture
Google BigQueryServerless
TrinoCoupled MPP
Compute model
Google BigQuery-
TrinoClusters
Query
SQL dialect
Google BigQueryVendor-specific
TrinoANSI SQL
Federation / lakehouse query-in-place
Google BigQuery
Trino
Interoperability
Table-format support
Google BigQuery-
Trino-
Scale
Concurrency scaling
Google BigQuery-
Trino-
Ingestion
Streaming ingest
Google BigQuery
Trino-
Data model
Semi-structured (JSON/VARIANT)
Google BigQueryFirst-class
Trino-
Analytics
ML / in-DB functions
Google BigQuery
Trino-
Sharing
Data sharing / marketplace
Google BigQuery
Trino-
Licensing
Licence class
Google BigQueryProprietary
TrinoPermissive OSS

What each one is

The product in its own terms, so the numbers below have context.

Google BigQuery

BigQuery is a fully managed, serverless data warehouse that supports analytics, machine learning, and AI applications. It enables users to store and query large datasets while integrating built-in AI capabilities for predictive analytics and natural language interaction.

Independently observed

Trino

Leader

An open-source SQL query engine built for fast, distributed analytics over large-scale datasets stored in multiple systems. It enables users to query data in place without copying, supporting interactive analytics workloads from single queries to high-volume applications.

Independently observed

Pricing

List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.

Google BigQuery

Usage-basedFree tier

Free tier with 10 GiB storage and 1 TiB monthly queries. New customers receive $300 in free credits.

  • Free tierFree
as of verify ↗

Trino

Leader
Open sourceFree tier
as of verify ↗

Platform & deployment

Where each product runs and how it can be hosted. A dash means undocumented, not unsupported.

Platforms
Web
Google BigQuery
Trino
CLI
Google BigQuery
Trino
Deployment
Cloud / SaaS
Google BigQuery
Trino
Self-hosted
Google BigQuery
Trino
On-premise
Google BigQuery
Trino

Integrations

What each product connects to. Counts come from the vendor's own integration directory where one exists.

Google BigQuery

4 total
  • Gemini Enterprise Agent Platform
  • Data Engineering Agent
  • Data Science Agent
  • Conversational Analytics Agent
Independently observed

Trino

Leader
18 total
  • Grafana
  • Apache Airflow
  • Apache DolphinScheduler
  • Coginiti
  • Cube
  • DBeaver
  • dbt
  • DbVisualizer
  • Emacs
  • Tableau
  • Power BI
  • Superset
  • R
  • Hadoop
  • S3
  • Cassandra
  • MySQL
  • Elasticsearch
Independently observed

Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.